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Application of a population-based severity scoring system to individual patients results in frequent misclassification

Overview of attention for article published in Critical Care, August 2005
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Citations

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36 Mendeley
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Title
Application of a population-based severity scoring system to individual patients results in frequent misclassification
Published in
Critical Care, August 2005
DOI 10.1186/cc3790
Pubmed ID
Authors

Frank V Booth, Mary Short, Andrew F Shorr, Nancy Arkins, Becky Bates, Rebecca L Qualy, Howard Levy

Abstract

APACHE II (AP2) was developed to allow a systematic examination of intensive care unit outcomes in a risk adjusted manner. AP2 has been widely adopted in clinical trials to assure broad consistency amongst different groups. Although errors in calculating the true AP2 score may not be reducible below 15%, the self-canceling effect of random errors reduces the importance of such errors when applied to large populations. It has been suggested that a threshold AP2 score be used in clinical decision making for individual patients. This study reports the AP2 scoring errors of researchers involved in a large sepsis trial and models the consequences of such an error rate for individual severe sepsis patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Switzerland 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Other 5 14%
Student > Postgraduate 4 11%
Student > Bachelor 2 6%
Professor 2 6%
Other 6 17%
Unknown 10 28%
Readers by discipline Count As %
Medicine and Dentistry 16 44%
Engineering 2 6%
Mathematics 1 3%
Sports and Recreations 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 13 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 December 2005.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Critical Care
#5,468
of 6,554 outputs
Outputs of similar age
#60,654
of 68,074 outputs
Outputs of similar age from Critical Care
#19
of 23 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 68,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.